This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

**Table 1.** Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue	Howard	Bayes
Time series	1999 - present	1977 - present
Bias in SWHS	Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests.	Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases	Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data.	Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations	Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas.	Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation	Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with.	By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Results

Model: LB_fit_3pH
Model Run: Gen4int_indcomp_swhsR_FULL_pHB4pars_re0full_altwt_1xcvSEo_thru2024_1500000_noSEoR_2025-12-02 (Naming convention: modelname_thruYEAR_iters_rundate)
Proportion of parmaters converged (Rhat <= 1.1): 0.9983
See end of document for summary of unconverged parameters.

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for $P_{(black)ayu}$ for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

And black rockfish releases…

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Total Biomass Removal Estimates

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Model fit

Logbook residuals

Figure 20.- Residuals from logbook harvests.

SWHS residuals

Figure 21.- Residuals from SWHS harvests.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

Figure 23.- Mean percent of harvest by charter anglers.

When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

$**Figure 29.**- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.$

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(slope|non-pelagic & non-yellowye) For release estimates

## NULL

Weight Fits

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.8613861

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.04 while 0.96 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable	area_n	year	user	mean	median	lower	upper	Rhat	sd	skew	area
p_pelagic	13	1	1	0.231	0.206	0.056	0.531	1.011	0.126	0.198	NSEI
p_pelagic	13	13	1	0.280	0.264	0.092	0.555	1.010	0.123	0.130	NSEI
p_pelagic	13	17	2	0.128	0.115	0.038	0.297	1.013	0.067	0.193	NSEI
p_pelagic	13	2	1	0.232	0.204	0.059	0.543	1.014	0.127	0.220	NSEI
p_pelagic	13	3	1	0.233	0.206	0.060	0.541	1.013	0.125	0.217	NSEI
p_pelagic	13	4	1	0.235	0.210	0.064	0.537	1.013	0.124	0.202	NSEI
p_pelagic	13	4	2	0.092	0.075	0.019	0.260	1.014	0.064	0.267	NSEI
p_pelagic	13	5	1	0.239	0.219	0.055	0.535	1.011	0.126	0.159	NSEI
p_pelagic	13	6	1	0.239	0.216	0.062	0.544	1.012	0.125	0.184	NSEI
p_pelagic	13	6	2	0.095	0.079	0.021	0.261	1.019	0.064	0.252	NSEI
p_pelagic	13	8	2	0.099	0.082	0.022	0.270	1.010	0.065	0.262	NSEI
p_pelagic	13	9	2	0.100	0.084	0.024	0.268	1.015	0.064	0.252	NSEI
p_pelagic	4	6	1	0.544	0.547	0.278	0.782	1.010	0.131	-0.023	PWSO
p_black	8	37	1	0.389	0.378	0.319	0.469	1.256	0.085	0.129	afognak

Table Xb. True parameters with an Rhat in excess of 1.1

variable	area_n	year/species	mean	median	lower	upper	Rhat	sd	skew	area
beta1_pH	10	1	2.211	2.121	1.465	3.896	1.109	0.549	0.164	northeast
beta0_yellow	11		-0.221	-0.189	-0.617	0.013	1.198	0.206	-0.156	CSEO
beta1_pH	9	1	2.096	1.937	1.206	4.153	1.123	0.690	0.231	eastside
lambda_H	15		0.021	0.014	0.003	0.066	1.252	0.062	0.112	SSEI

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.01	185.00	199.00	818.00	300.00
Prop. of total	0.48	0.52	0.73	0.27
Prop. median less than 1	0.54	0.28	0.36	0.44
Prop. median less than 10	0.75	0.67	0.59	0.78
Prop. median less than 50	0.89	0.86	0.73	0.86
Median of the median values	0.81	3.90	4.09	1.51
Mean of the median values	45.98	79.66	208.68	115.62
Mean skew of posteriors	0.28	0.29	0.27	0.25

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.1	2.00	7.00	49.00	27.00
Prop. of total	0.22	0.78	0.64	0.36
Prop. median less than 1	0.50	0.71	0.84	0.56
Prop. median less than 10	0.50	0.86	0.92	0.93
Prop. median less than 50	0.50	1.00	0.94	0.93
Median of the median values	383.09	0.15	0.01	0.19
Mean of the median values	383.09	6.86	18.54	20.68
Mean skew of posteriors	0.15	0.18	0.12	0.17

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable	Freq
beta0_yellow	1
beta1_pH	1
eps_bl	1
H_ayg	1
H_ayu	1
Hb_ay	2
Hb_ayg	2
Ho_ay	2
Ho_ayu	3
Hp_ay	1
Hp_ayg	1
Hs_ayu	1
Hy_ay	1
Hy_ayg	1
Hy_ayu	1
lambda_H	1
p_black	1
p_slope	1
R_ayg	1
R_ayu	4
Rb_ayg	2
Rd_ay	2
Rd_ayu	3
re_black	1
Ro_ay	11
Ro_ayg	4
Ro_ayu	39
Rp_ayg	1
Rs_ayg	4
Rs_ayu	4
Ry_ay	10
Ry_ayg	2
Ry_ayu	17

Parameter estimates:

Summary Table of Parameter Estimates
Parameter	mean	sd	Lower_CI	Median	Upper_CI
mu_bc_H[1]	-0.018	0.069	-0.150	-0.021	0.122
mu_bc_H[2]	0.077	0.054	-0.019	0.076	0.187
mu_bc_H[3]	-0.271	0.067	-0.398	-0.273	-0.135
mu_bc_H[4]	-0.923	0.185	-1.297	-0.915	-0.568
mu_bc_H[5]	1.363	1.093	0.131	1.104	4.152
mu_bc_H[6]	-2.391	0.316	-2.997	-2.404	-1.747
mu_bc_H[7]	-0.453	0.102	-0.660	-0.453	-0.251
mu_bc_H[8]	0.257	0.350	-0.313	0.220	1.026
mu_bc_H[9]	-0.246	0.123	-0.479	-0.246	0.002
mu_bc_H[10]	0.058	0.065	-0.065	0.058	0.187
mu_bc_H[11]	-0.123	0.037	-0.197	-0.124	-0.051
mu_bc_H[12]	-0.255	0.109	-0.481	-0.250	-0.050
mu_bc_H[13]	-0.160	0.073	-0.302	-0.159	-0.011
mu_bc_H[14]	-0.306	0.089	-0.483	-0.302	-0.134
mu_bc_H[15]	-0.333	0.047	-0.424	-0.334	-0.238
mu_bc_H[16]	-0.142	0.369	-0.776	-0.176	0.698
mu_bc_R[1]	1.043	0.122	0.803	1.044	1.279
mu_bc_R[2]	1.017	0.077	0.856	1.020	1.165
mu_bc_R[3]	0.222	0.090	0.041	0.223	0.387
mu_bc_R[4]	0.675	0.197	0.283	0.679	1.061
mu_bc_R[5]	1.680	0.363	0.961	1.681	2.355
mu_bc_R[6]	-1.438	0.348	-2.114	-1.446	-0.737
mu_bc_R[7]	0.520	0.166	0.183	0.521	0.836
mu_bc_R[8]	0.657	0.148	0.371	0.656	0.952
mu_bc_R[9]	0.383	0.165	0.035	0.389	0.691
mu_bc_R[10]	0.896	0.105	0.687	0.896	1.100
mu_bc_R[11]	1.099	0.077	0.953	1.097	1.250
mu_bc_R[12]	0.867	0.164	0.537	0.868	1.180
mu_bc_R[13]	1.033	0.088	0.854	1.035	1.204
mu_bc_R[14]	0.857	0.122	0.615	0.856	1.096
mu_bc_R[15]	0.779	0.097	0.585	0.778	0.967
mu_bc_R[16]	1.265	0.113	1.043	1.266	1.479
tau_pH[1]	2.455	0.189	2.109	2.443	2.841
tau_pH[2]	1.567	0.148	1.300	1.562	1.863
tau_pH[3]	2.279	0.302	1.733	2.262	2.915
tau_pH[4]	1.119	0.177	0.817	1.101	1.495
tau_pH[5]	0.790	0.127	0.562	0.782	1.076
beta0_pH[1,1]	0.556	0.172	0.204	0.565	0.866
beta0_pH[2,1]	1.426	0.155	1.107	1.432	1.715
beta0_pH[3,1]	1.395	0.222	0.834	1.419	1.753
beta0_pH[4,1]	1.557	0.253	0.972	1.583	1.965
beta0_pH[5,1]	-0.782	0.398	-1.754	-0.733	-0.161
beta0_pH[6,1]	-0.542	0.471	-1.852	-0.421	0.055
beta0_pH[7,1]	0.752	0.011	0.732	0.752	0.772
beta0_pH[8,1]	-0.611	0.343	-1.420	-0.578	-0.044
beta0_pH[9,1]	-0.320	0.309	-0.997	-0.291	0.183
beta0_pH[10,1]	0.275	0.222	-0.206	0.292	0.664
beta0_pH[11,1]	0.042	0.311	-0.593	0.051	0.586
beta0_pH[12,1]	0.622	0.192	0.227	0.630	0.994
beta0_pH[13,1]	-0.663	0.156	-0.993	-0.656	-0.382
beta0_pH[14,1]	0.002	0.174	-0.348	0.008	0.328
beta0_pH[15,1]	0.050	0.189	-0.377	0.065	0.382
beta0_pH[16,1]	-0.857	0.218	-1.326	-0.849	-0.464
beta0_pH[1,2]	2.566	0.087	2.403	2.562	2.749
beta0_pH[2,2]	3.078	0.022	3.035	3.077	3.120
beta0_pH[3,2]	3.625	0.041	3.548	3.625	3.709
beta0_pH[4,2]	2.936	0.020	2.898	2.937	2.974
beta0_pH[5,2]	4.553	1.528	2.684	4.252	8.360
beta0_pH[6,2]	3.328	0.157	3.039	3.319	3.652
beta0_pH[7,2]	2.026	0.051	1.930	2.025	2.126
beta0_pH[8,2]	2.822	0.066	2.694	2.821	2.953
beta0_pH[9,2]	3.962	0.210	3.571	3.954	4.395
beta0_pH[10,2]	4.001	0.130	3.769	3.995	4.275
beta0_pH[11,2]	1.888	0.009	1.871	1.888	1.906
beta0_pH[12,2]	1.801	0.069	1.667	1.803	1.936
beta0_pH[13,2]	2.498	0.027	2.445	2.498	2.551
beta0_pH[14,2]	1.805	0.024	1.761	1.804	1.854
beta0_pH[15,2]	2.550	0.017	2.517	2.550	2.581
beta0_pH[16,2]	2.775	0.024	2.727	2.775	2.824
beta0_pH[1,3]	0.697	0.574	-0.796	0.847	1.382
beta0_pH[2,3]	2.126	0.017	2.093	2.126	2.159
beta0_pH[3,3]	2.690	0.024	2.643	2.690	2.737
beta0_pH[4,3]	2.982	0.034	2.918	2.981	3.050
beta0_pH[5,3]	3.897	2.690	0.954	3.148	11.129
beta0_pH[6,3]	1.254	0.321	0.676	1.237	1.934
beta0_pH[7,3]	0.856	0.051	0.756	0.857	0.955
beta0_pH[8,3]	0.285	0.125	0.014	0.290	0.500
beta0_pH[9,3]	-2.912	1.121	-5.357	-2.775	-0.990
beta0_pH[10,3]	-0.913	0.888	-3.036	-0.809	0.518
beta0_pH[11,3]	0.113	11.920	-22.535	-0.083	24.671
beta0_pH[12,3]	0.032	11.639	-22.707	-0.023	23.740
beta0_pH[13,3]	-0.190	11.785	-22.856	-0.586	23.558
beta0_pH[14,3]	0.125	11.679	-22.406	0.082	23.653
beta0_pH[15,3]	0.098	11.800	-22.778	-0.238	23.876
beta0_pH[16,3]	0.283	11.589	-22.050	0.249	22.749
beta0_pH[11,4]	1.008	0.668	-0.667	1.069	2.134
beta0_pH[12,4]	0.866	0.806	-0.989	0.901	2.283
beta0_pH[13,4]	0.759	0.719	-1.101	0.847	1.961
beta0_pH[14,4]	0.341	0.567	-0.932	0.405	1.299
beta0_pH[15,4]	0.688	0.605	-0.683	0.727	1.859
beta0_pH[16,4]	1.033	0.701	-0.553	1.064	2.350
beta0_pH[11,5]	1.668	0.084	1.517	1.665	1.845
beta0_pH[12,5]	-1.419	0.450	-2.373	-1.400	-0.602
beta0_pH[13,5]	2.228	0.253	1.811	2.202	2.794
beta0_pH[14,5]	1.901	0.319	1.390	1.869	2.579
beta0_pH[15,5]	1.109	0.064	0.993	1.104	1.250
beta0_pH[16,5]	-0.736	0.053	-0.840	-0.738	-0.629
beta1_pH[1,1]	2.582	0.488	1.825	2.515	3.779
beta1_pH[2,1]	1.591	0.300	1.043	1.575	2.211
beta1_pH[3,1]	1.819	0.450	1.121	1.753	3.070
beta1_pH[4,1]	1.943	0.482	1.227	1.858	3.231
beta1_pH[5,1]	2.305	0.538	1.499	2.225	3.687
beta1_pH[6,1]	2.220	0.885	1.081	1.976	4.507
beta1_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,1]	2.434	0.934	1.185	2.191	4.673
beta1_pH[9,1]	2.096	0.690	1.206	1.937	4.153
beta1_pH[10,1]	2.211	0.549	1.465	2.121	3.896
beta1_pH[11,1]	3.362	0.535	2.497	3.295	4.640
beta1_pH[12,1]	2.909	0.285	2.369	2.904	3.483
beta1_pH[13,1]	3.467	0.246	3.013	3.458	3.969
beta1_pH[14,1]	2.864	0.327	2.261	2.844	3.538
beta1_pH[15,1]	2.408	0.275	1.906	2.393	3.015
beta1_pH[16,1]	4.019	0.303	3.450	4.012	4.655
beta1_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[1,3]	3.456	1.677	1.235	2.987	7.428
beta1_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,3]	4.778	2.232	2.201	4.085	10.994
beta1_pH[9,3]	8.517	2.639	4.079	8.118	14.056
beta1_pH[10,3]	7.227	2.743	3.154	6.755	13.450
beta1_pH[11,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,4]	2.176	0.711	0.870	2.141	3.779
beta1_pH[12,4]	3.301	0.812	1.910	3.243	5.285
beta1_pH[13,4]	1.705	0.757	0.307	1.654	3.530
beta1_pH[14,4]	2.307	0.645	1.167	2.257	3.670
beta1_pH[15,4]	1.754	0.667	0.346	1.732	3.171
beta1_pH[16,4]	3.821	0.751	2.419	3.782	5.500
beta1_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,1]	1.240	0.853	0.332	0.921	3.372
beta2_pH[2,1]	1.632	0.933	0.338	1.438	3.404
beta2_pH[3,1]	1.386	0.859	0.192	1.220	2.947
beta2_pH[4,1]	1.105	0.783	0.202	0.850	2.894
beta2_pH[5,1]	2.212	1.908	0.252	1.685	7.730
beta2_pH[6,1]	1.063	1.654	0.109	0.406	6.551
beta2_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,1]	0.948	1.639	0.114	0.364	6.824
beta2_pH[9,1]	1.098	1.569	0.141	0.527	6.405
beta2_pH[10,1]	1.346	1.566	0.201	0.817	6.607
beta2_pH[11,1]	0.428	0.231	0.182	0.371	0.988
beta2_pH[12,1]	1.575	0.828	0.615	1.305	3.694
beta2_pH[13,1]	0.998	0.417	0.541	0.900	2.124
beta2_pH[14,1]	1.131	0.668	0.433	0.916	3.203
beta2_pH[15,1]	1.024	0.604	0.368	0.856	2.921
beta2_pH[16,1]	1.060	0.356	0.614	0.989	1.972
beta2_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,3]	2.377	4.290	0.115	0.497	15.600
beta2_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,3]	2.402	1.918	0.559	1.626	7.596
beta2_pH[9,3]	0.189	0.179	0.079	0.157	0.467
beta2_pH[10,3]	0.305	0.380	0.099	0.225	0.954
beta2_pH[11,3]	-8.448	5.954	-22.363	-7.181	-0.435
beta2_pH[12,3]	-8.392	6.023	-22.643	-7.065	-0.434
beta2_pH[13,3]	-8.406	5.971	-22.785	-7.140	-0.534
beta2_pH[14,3]	-8.422	5.896	-22.515	-7.176	-0.531
beta2_pH[15,3]	-8.370	5.929	-22.616	-7.186	-0.522
beta2_pH[16,3]	-8.415	5.981	-22.432	-7.107	-0.454
beta2_pH[11,4]	-5.334	4.358	-16.869	-3.928	-0.642
beta2_pH[12,4]	-5.978	4.359	-17.502	-4.836	-1.033
beta2_pH[13,4]	-5.483	4.381	-17.325	-4.091	-0.806
beta2_pH[14,4]	-5.520	4.268	-17.082	-4.136	-0.969
beta2_pH[15,4]	-5.679	4.341	-17.063	-4.363	-0.801
beta2_pH[16,4]	-5.706	4.185	-16.982	-4.273	-1.345
beta2_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta3_pH[1,1]	35.005	1.149	32.918	34.986	37.594
beta3_pH[2,1]	32.737	1.302	30.350	32.677	35.406
beta3_pH[3,1]	33.085	1.563	30.222	32.999	36.859
beta3_pH[4,1]	32.697	1.764	29.596	32.623	36.433
beta3_pH[5,1]	27.664	1.287	25.974	27.499	31.189
beta3_pH[6,1]	33.431	3.201	27.052	33.212	40.803
beta3_pH[7,1]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,1]	35.460	3.715	29.127	35.492	42.236
beta3_pH[9,1]	32.492	2.892	27.841	32.032	39.899
beta3_pH[10,1]	32.821	1.711	30.295	32.588	37.542
beta3_pH[11,1]	31.177	1.147	29.201	31.119	33.545
beta3_pH[12,1]	30.768	0.468	29.840	30.794	31.665
beta3_pH[13,1]	31.413	0.545	30.411	31.394	32.518
beta3_pH[14,1]	32.492	0.736	31.263	32.443	34.036
beta3_pH[15,1]	30.925	0.723	29.476	30.935	32.294
beta3_pH[16,1]	30.142	0.355	29.426	30.141	30.841
beta3_pH[1,2]	34.477	5.467	25.494	34.430	43.486
beta3_pH[2,2]	34.471	5.523	25.536	34.499	43.453
beta3_pH[3,2]	30.515	7.213	18.560	30.547	42.367
beta3_pH[4,2]	30.461	7.154	18.627	30.507	42.409
beta3_pH[5,2]	30.692	7.217	18.747	30.715	42.350
beta3_pH[6,2]	30.480	7.337	18.538	30.459	42.387
beta3_pH[7,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[9,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[10,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[11,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[12,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[13,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[14,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[15,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[16,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[1,3]	39.840	2.516	33.625	40.163	43.728
beta3_pH[2,3]	34.404	5.512	25.395	34.353	43.478
beta3_pH[3,3]	30.538	7.152	18.704	30.608	42.366
beta3_pH[4,3]	30.381	7.199	18.769	30.303	42.432
beta3_pH[5,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[6,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[7,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,3]	42.113	0.808	40.951	41.863	43.839
beta3_pH[9,3]	35.928	1.668	34.523	35.307	40.994
beta3_pH[10,3]	37.751	2.476	34.629	37.120	43.373
beta3_pH[11,3]	38.577	2.583	34.237	38.671	42.755
beta3_pH[12,3]	38.435	2.571	34.208	38.372	42.725
beta3_pH[13,3]	38.538	2.622	34.223	38.583	42.799
beta3_pH[14,3]	38.509	2.607	34.190	38.555	42.756
beta3_pH[15,3]	38.450	2.600	34.207	38.453	42.715
beta3_pH[16,3]	38.417	2.598	34.209	38.451	42.760
beta3_pH[11,4]	40.715	1.147	38.723	40.629	43.220
beta3_pH[12,4]	41.889	0.807	40.223	42.153	42.938
beta3_pH[13,4]	41.426	1.148	39.125	41.387	43.580
beta3_pH[14,4]	40.362	0.760	38.815	40.376	41.795
beta3_pH[15,4]	41.030	0.988	39.030	40.998	43.072
beta3_pH[16,4]	41.739	0.419	40.907	41.791	42.546
beta3_pH[11,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[12,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[13,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[14,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[15,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[16,5]	25.000	0.000	25.000	25.000	25.000
beta4_pH[1,1]	0.263	0.021	0.223	0.262	0.305
beta4_pH[2,1]	0.211	0.005	0.200	0.211	0.221
beta4_pH[3,1]	0.173	0.007	0.159	0.173	0.187
beta4_pH[4,1]	0.294	0.012	0.271	0.294	0.317
beta4_pH[5,1]	0.419	0.251	0.085	0.383	0.947
beta4_pH[6,1]	0.784	0.396	0.314	0.734	1.493
beta4_pH[7,1]	0.856	0.336	0.353	0.803	1.675
beta4_pH[8,1]	0.157	0.070	0.044	0.149	0.315
beta4_pH[9,1]	0.213	0.087	0.058	0.208	0.398
beta4_pH[10,1]	0.001	0.001	0.000	0.001	0.003
beta4_pH[11,1]	0.445	0.012	0.423	0.445	0.468
beta4_pH[12,1]	0.642	0.022	0.598	0.642	0.686
beta4_pH[13,1]	0.631	0.013	0.605	0.630	0.657
beta4_pH[14,1]	0.667	0.029	0.612	0.667	0.726
beta4_pH[15,1]	0.796	0.021	0.756	0.796	0.837
beta4_pH[16,1]	1.216	0.042	1.135	1.215	1.301
beta4_pH[1,2]	0.297	0.096	0.119	0.292	0.491
beta4_pH[2,2]	0.514	0.022	0.470	0.514	0.559
beta4_pH[3,2]	0.446	0.012	0.423	0.446	0.470
beta4_pH[4,2]	0.655	0.038	0.584	0.654	0.731
beta4_pH[5,2]	0.726	0.860	0.107	0.533	2.519
beta4_pH[6,2]	0.928	0.813	0.197	0.746	2.941
beta4_pH[7,2]	0.893	0.516	0.355	0.816	1.850
beta4_pH[8,2]	0.846	0.199	0.490	0.832	1.254
beta4_pH[9,2]	1.153	1.056	0.305	0.886	3.720
beta4_pH[10,2]	0.459	0.051	0.361	0.459	0.559
beta4_pH[11,2]	1.270	0.051	1.175	1.269	1.373
beta4_pH[12,2]	0.605	0.109	0.408	0.600	0.831
beta4_pH[13,2]	0.948	0.044	0.865	0.948	1.036
beta4_pH[14,2]	0.932	0.062	0.810	0.931	1.057
beta4_pH[15,2]	1.010	0.026	0.959	1.009	1.062
beta4_pH[16,2]	1.388	0.075	1.248	1.386	1.540
beta4_pH[1,3]	0.241	0.078	0.100	0.235	0.406
beta4_pH[2,3]	0.050	0.017	0.019	0.049	0.084
beta4_pH[3,3]	0.052	0.010	0.034	0.052	0.071
beta4_pH[4,3]	0.166	0.031	0.109	0.165	0.227
beta4_pH[5,3]	0.776	0.963	0.128	0.571	2.741
beta4_pH[6,3]	0.905	0.995	0.205	0.707	2.779
beta4_pH[7,3]	0.886	0.404	0.355	0.812	1.895
beta4_pH[8,3]	0.393	0.187	0.107	0.370	0.813
beta4_pH[9,3]	0.945	0.994	0.181	0.709	2.908
beta4_pH[10,3]	0.055	0.038	0.003	0.048	0.141
beta4_pH[11,3]	0.615	0.258	0.263	0.576	1.194
beta4_pH[12,3]	0.703	0.219	0.381	0.664	1.225
beta4_pH[13,3]	0.717	0.199	0.406	0.690	1.170
beta4_pH[14,3]	0.856	0.211	0.527	0.827	1.342
beta4_pH[15,3]	0.819	0.245	0.444	0.785	1.404
beta4_pH[16,3]	0.830	0.389	0.315	0.761	1.752
beta4_pH[1,4]	0.632	0.393	0.210	0.559	1.449
beta4_pH[2,4]	0.823	0.879	0.119	0.591	2.886
beta4_pH[3,4]	0.897	1.086	0.110	0.616	3.354
beta4_pH[4,4]	0.724	0.456	0.210	0.620	1.907
beta4_pH[5,4]	0.762	0.821	0.108	0.549	2.779
beta4_pH[6,4]	0.929	0.879	0.199	0.749	2.820
beta4_pH[7,4]	0.892	0.482	0.342	0.814	1.892
beta4_pH[8,4]	0.728	0.612	0.139	0.583	2.188
beta4_pH[9,4]	0.781	0.937	0.108	0.555	2.913
beta4_pH[10,4]	1.432	2.905	0.007	0.381	10.631
beta4_pH[11,4]	0.396	0.016	0.365	0.395	0.426
beta4_pH[12,4]	0.552	0.053	0.452	0.551	0.657
beta4_pH[13,4]	0.834	0.040	0.757	0.833	0.914
beta4_pH[14,4]	0.864	0.071	0.730	0.862	1.010
beta4_pH[15,4]	0.626	0.017	0.593	0.626	0.661
beta4_pH[16,4]	0.648	0.039	0.575	0.647	0.729
beta4_pH[1,5]	0.643	0.395	0.188	0.554	1.634
beta4_pH[2,5]	0.834	0.946	0.119	0.597	2.962
beta4_pH[3,5]	0.875	1.015	0.110	0.597	3.360
beta4_pH[4,5]	0.742	0.474	0.204	0.628	1.943
beta4_pH[5,5]	0.759	0.761	0.110	0.560	2.887
beta4_pH[6,5]	0.935	0.864	0.222	0.741	2.785
beta4_pH[7,5]	0.890	0.442	0.346	0.813	1.921
beta4_pH[8,5]	0.744	0.775	0.153	0.576	2.195
beta4_pH[9,5]	0.779	0.884	0.115	0.564	2.637
beta4_pH[10,5]	1.539	3.162	0.006	0.404	11.857
beta4_pH[11,5]	0.362	0.077	0.215	0.362	0.515
beta4_pH[12,5]	0.697	0.203	0.380	0.665	1.201
beta4_pH[13,5]	0.973	0.111	0.771	0.967	1.206
beta4_pH[14,5]	0.844	0.157	0.570	0.831	1.193
beta4_pH[15,5]	1.311	0.116	1.094	1.305	1.551
beta4_pH[16,5]	0.905	0.371	0.360	0.844	1.774
beta0_pelagic[1]	2.268	0.037	2.200	2.267	2.344
beta0_pelagic[2]	1.537	0.007	1.523	1.537	1.551
beta0_pelagic[3]	0.167	0.264	-0.511	0.229	0.544
beta0_pelagic[4]	0.222	0.232	-0.328	0.239	0.612
beta0_pelagic[5]	1.442	0.155	1.138	1.440	1.766
beta0_pelagic[6]	1.355	0.060	1.240	1.352	1.481
beta0_pelagic[7]	1.469	0.038	1.398	1.467	1.548
beta0_pelagic[8]	1.672	0.044	1.592	1.671	1.763
beta0_pelagic[9]	2.774	0.064	2.654	2.772	2.905
beta0_pelagic[10]	2.603	0.031	2.545	2.602	2.668
beta0_pelagic[11]	-0.129	0.170	-0.536	-0.115	0.156
beta0_pelagic[12]	1.801	0.035	1.734	1.800	1.872
beta0_pelagic[13]	-1.507	0.626	-2.685	-1.531	-0.288
beta0_pelagic[14]	-0.282	0.176	-0.687	-0.264	0.012
beta0_pelagic[15]	-0.207	0.035	-0.295	-0.194	-0.179
beta0_pelagic[16]	-0.435	0.368	-1.323	-0.344	0.074
beta1_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[3]	0.785	0.301	0.330	0.737	1.631
beta1_pelagic[4]	0.826	0.254	0.389	0.807	1.405
beta1_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[11]	1.137	0.239	0.725	1.119	1.671
beta1_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[13]	3.507	0.823	1.851	3.507	4.895
beta1_pelagic[14]	1.783	0.448	1.121	1.696	2.919
beta1_pelagic[15]	0.077	0.146	0.000	0.011	0.590
beta1_pelagic[16]	1.530	0.574	0.747	1.379	2.867
beta2_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[3]	6.149	6.035	0.183	4.285	21.180
beta2_pelagic[4]	7.668	6.179	0.354	6.245	22.504
beta2_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[11]	1.824	1.549	0.302	1.327	6.287
beta2_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[13]	0.145	0.058	0.075	0.132	0.296
beta2_pelagic[14]	0.847	0.813	0.201	0.601	3.443
beta2_pelagic[15]	2.625	1.901	0.131	2.269	7.137
beta2_pelagic[16]	0.805	1.009	0.126	0.408	4.047
beta3_pelagic[1]	28.787	3.912	22.387	28.816	35.206
beta3_pelagic[2]	28.777	3.910	22.266	28.796	35.108
beta3_pelagic[3]	27.650	2.749	23.061	27.695	32.433
beta3_pelagic[4]	26.102	1.455	23.066	26.268	29.129
beta3_pelagic[5]	29.546	6.704	18.549	29.662	40.382
beta3_pelagic[6]	29.554	6.688	18.591	29.620	40.393
beta3_pelagic[7]	29.618	6.718	18.638	29.679	40.508
beta3_pelagic[8]	29.703	6.620	18.689	30.046	40.355
beta3_pelagic[9]	29.317	6.563	18.527	29.073	40.287
beta3_pelagic[10]	29.499	6.551	18.518	29.450	40.290
beta3_pelagic[11]	30.163	1.189	27.927	30.133	32.665
beta3_pelagic[12]	30.000	0.000	30.000	30.000	30.000
beta3_pelagic[13]	29.746	4.523	23.372	29.003	40.326
beta3_pelagic[14]	34.193	1.635	31.493	33.988	37.990
beta3_pelagic[15]	33.824	5.714	23.621	34.381	41.727
beta3_pelagic[16]	31.237	2.380	26.204	31.210	36.314
beta0_yellow[1]	-0.484	0.079	-0.639	-0.484	-0.333
beta0_yellow[2]	0.544	0.079	0.371	0.550	0.680
beta0_yellow[3]	-0.211	0.129	-0.468	-0.214	0.013
beta0_yellow[4]	0.887	0.268	0.081	0.966	1.192
beta0_yellow[5]	0.233	0.331	-0.479	0.260	0.817
beta0_yellow[6]	0.817	0.107	0.611	0.813	1.028
beta0_yellow[7]	1.012	0.102	0.811	1.012	1.216
beta0_yellow[8]	1.016	0.094	0.835	1.017	1.195
beta0_yellow[9]	0.444	0.099	0.243	0.447	0.628
beta0_yellow[10]	0.538	0.070	0.409	0.536	0.676
beta0_yellow[11]	-0.221	0.206	-0.617	-0.189	0.013
beta0_yellow[12]	-1.085	0.094	-1.273	-1.086	-0.905
beta0_yellow[13]	-1.338	0.178	-1.708	-1.324	-1.042
beta0_yellow[14]	-0.257	0.166	-0.592	-0.233	-0.009
beta0_yellow[15]	-1.247	0.131	-1.571	-1.230	-1.038
beta0_yellow[16]	-0.257	0.093	-0.443	-0.256	-0.075
beta1_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[2]	1.010	0.230	0.576	1.010	1.473
beta1_yellow[3]	0.470	0.248	0.020	0.480	0.920
beta1_yellow[4]	1.340	0.583	0.645	1.198	3.152
beta1_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[11]	0.275	0.358	0.001	0.085	1.199
beta1_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[13]	1.974	1.721	0.044	1.152	5.946
beta1_yellow[14]	0.675	0.885	0.013	0.443	3.340
beta1_yellow[15]	0.161	0.195	0.011	0.080	0.685
beta1_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[2]	-7.679	5.681	-21.077	-6.517	-0.452
beta2_yellow[3]	-7.844	5.945	-21.867	-6.511	-0.415
beta2_yellow[4]	-5.476	5.825	-19.994	-3.388	-0.126
beta2_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[11]	-7.860	5.838	-21.961	-6.754	-0.425
beta2_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[13]	-5.385	5.298	-19.095	-3.424	-0.318
beta2_yellow[14]	-6.935	5.427	-19.557	-5.681	-0.344
beta2_yellow[15]	-7.518	5.549	-20.581	-6.293	-0.324
beta2_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta3_yellow[1]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[2]	28.847	1.153	27.262	28.660	31.941
beta3_yellow[3]	32.382	3.361	23.011	32.517	39.034
beta3_yellow[4]	29.862	3.195	24.529	28.697	35.790
beta3_yellow[5]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[6]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[7]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[8]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[9]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[10]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[11]	35.505	4.024	30.395	34.372	43.668
beta3_yellow[12]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[13]	32.364	2.865	29.101	31.906	38.664
beta3_yellow[14]	33.984	3.540	29.175	33.556	42.912
beta3_yellow[15]	36.519	3.786	30.322	36.138	43.522
beta3_yellow[16]	35.000	0.000	35.000	35.000	35.000
beta0_black[1]	0.010	0.074	-0.127	0.009	0.153
beta0_black[2]	1.855	0.033	1.790	1.856	1.920
beta0_black[3]	1.239	0.038	1.164	1.238	1.313
beta0_black[4]	2.425	0.047	2.333	2.426	2.519
beta0_black[5]	5.127	2.349	1.855	4.689	11.080
beta0_black[6]	5.249	2.166	2.651	4.701	10.974
beta0_black[7]	4.104	2.114	1.616	3.565	10.136
beta0_black[8]	0.886	0.219	0.477	0.877	1.339
beta0_black[9]	2.809	0.270	2.304	2.807	3.357
beta0_black[10]	1.287	0.050	1.193	1.287	1.386
beta0_black[11]	2.977	0.052	2.872	2.977	3.079
beta0_black[12]	4.916	0.193	4.550	4.913	5.303
beta0_black[13]	0.437	0.330	0.019	0.362	1.234
beta0_black[14]	2.850	0.107	2.647	2.849	3.067
beta0_black[15]	0.721	0.052	0.618	0.721	0.824
beta0_black[16]	3.773	0.073	3.628	3.774	3.912
beta2_black[1]	0.000	0.000	0.000	0.000	0.000
beta2_black[2]	0.000	0.000	0.000	0.000	0.000
beta2_black[3]	0.000	0.000	0.000	0.000	0.000
beta2_black[4]	0.000	0.000	0.000	0.000	0.000
beta2_black[5]	0.000	0.000	0.000	0.000	0.000
beta2_black[6]	0.000	0.000	0.000	0.000	0.000
beta2_black[7]	0.000	0.000	0.000	0.000	0.000
beta2_black[8]	0.000	0.000	0.000	0.000	0.000
beta2_black[9]	0.000	0.000	0.000	0.000	0.000
beta2_black[10]	0.000	0.000	0.000	0.000	0.000
beta2_black[11]	0.000	0.000	0.000	0.000	0.000
beta2_black[12]	0.000	0.000	0.000	0.000	0.000
beta2_black[13]	-2.564	1.794	-6.933	-2.146	-0.287
beta2_black[14]	0.000	0.000	0.000	0.000	0.000
beta2_black[15]	0.000	0.000	0.000	0.000	0.000
beta2_black[16]	0.000	0.000	0.000	0.000	0.000
beta3_black[1]	25.000	0.000	25.000	25.000	25.000
beta3_black[2]	25.000	0.000	25.000	25.000	25.000
beta3_black[3]	25.000	0.000	25.000	25.000	25.000
beta3_black[4]	25.000	0.000	25.000	25.000	25.000
beta3_black[5]	25.000	0.000	25.000	25.000	25.000
beta3_black[6]	25.000	0.000	25.000	25.000	25.000
beta3_black[7]	25.000	0.000	25.000	25.000	25.000
beta3_black[8]	25.000	0.000	25.000	25.000	25.000
beta3_black[9]	25.000	0.000	25.000	25.000	25.000
beta3_black[10]	25.000	0.000	25.000	25.000	25.000
beta3_black[11]	25.000	0.000	25.000	25.000	25.000
beta3_black[12]	25.000	0.000	25.000	25.000	25.000
beta3_black[13]	37.283	3.445	26.448	38.142	40.894
beta3_black[14]	25.000	0.000	25.000	25.000	25.000
beta3_black[15]	25.000	0.000	25.000	25.000	25.000
beta3_black[16]	25.000	0.000	25.000	25.000	25.000
beta4_black[1]	-0.324	0.090	-0.503	-0.325	-0.148
beta4_black[2]	0.258	0.053	0.154	0.258	0.360
beta4_black[3]	-0.720	0.066	-0.849	-0.720	-0.594
beta4_black[4]	0.629	0.131	0.381	0.627	0.892
beta4_black[5]	0.761	1.498	-1.178	0.477	4.256
beta4_black[6]	0.834	1.324	-0.887	0.576	4.045
beta4_black[7]	0.761	1.277	-1.012	0.518	3.861
beta4_black[8]	0.090	0.287	-0.521	0.102	0.625
beta4_black[9]	1.042	0.822	-0.101	0.884	3.089
beta4_black[10]	0.073	0.066	-0.056	0.073	0.204
beta4_black[11]	-0.608	0.066	-0.737	-0.608	-0.480
beta4_black[12]	1.234	0.290	0.700	1.226	1.827
beta4_black[13]	-1.006	0.077	-1.162	-1.003	-0.860
beta4_black[14]	0.219	0.183	-0.121	0.219	0.587
beta4_black[15]	0.005	0.047	-0.087	0.005	0.095
beta4_black[16]	-0.418	0.116	-0.647	-0.417	-0.191
beta0_dsr[11]	-0.337	0.009	-0.356	-0.337	-0.319
beta0_dsr[12]	1.422	0.044	1.338	1.421	1.508
beta0_dsr[13]	0.130	0.021	0.089	0.130	0.170
beta0_dsr[14]	-0.134	0.017	-0.167	-0.135	-0.100
beta0_dsr[15]	0.184	0.014	0.156	0.184	0.210
beta0_dsr[16]	0.208	0.015	0.179	0.208	0.238
beta1_dsr[11]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[12]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[13]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[14]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[15]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[16]	0.000	0.000	0.000	0.000	0.000
beta4_dsr[11]	0.550	0.035	0.481	0.550	0.619
beta4_dsr[12]	0.814	0.243	0.350	0.814	1.304
beta4_dsr[13]	-0.045	0.041	-0.125	-0.045	0.036
beta4_dsr[14]	-0.205	0.071	-0.339	-0.205	-0.061
beta4_dsr[15]	0.237	0.021	0.195	0.237	0.279
beta4_dsr[16]	-0.099	0.046	-0.186	-0.101	-0.007
beta0_slope[11]	-2.201	0.021	-2.242	-2.201	-2.161
beta0_slope[12]	-5.435	0.228	-5.880	-5.430	-4.991
beta0_slope[13]	-1.456	0.034	-1.524	-1.456	-1.389
beta0_slope[14]	-2.693	0.050	-2.794	-2.692	-2.598
beta0_slope[15]	-1.566	0.021	-1.609	-1.566	-1.525
beta0_slope[16]	-3.013	0.046	-3.105	-3.012	-2.923
beta1_slope[11]	0.000	0.000	0.000	0.000	0.000
beta1_slope[12]	0.000	0.000	0.000	0.000	0.000
beta1_slope[13]	0.000	0.000	0.000	0.000	0.000
beta1_slope[14]	0.000	0.000	0.000	0.000	0.000
beta1_slope[15]	0.000	0.000	0.000	0.000	0.000
beta1_slope[16]	0.000	0.000	0.000	0.000	0.000
beta4_slope[11]	-0.341	0.078	-0.497	-0.339	-0.194
beta4_slope[12]	-4.660	0.811	-6.318	-4.623	-3.176
beta4_slope[13]	0.281	0.053	0.177	0.281	0.389
beta4_slope[14]	-0.178	0.153	-0.485	-0.174	0.106
beta4_slope[15]	-0.387	0.033	-0.450	-0.387	-0.324
beta4_slope[16]	0.219	0.106	0.000	0.219	0.423
beta5_slope[11]	3.080	0.110	2.874	3.079	3.294
beta5_slope[12]	2.004	0.385	1.299	1.990	2.811
beta5_slope[13]	0.934	0.083	0.772	0.934	1.095
beta5_slope[14]	3.799	0.369	3.118	3.785	4.549
beta5_slope[15]	1.388	0.073	1.250	1.387	1.534
beta5_slope[16]	2.684	0.233	2.263	2.671	3.165
tau_comp[1]	3.768	0.288	3.224	3.761	4.355
tau_comp[2]	2.846	0.257	2.376	2.834	3.375
tau_comp[3]	0.869	0.074	0.731	0.866	1.018
tau_comp[4]	1.280	0.197	0.938	1.268	1.697
tau_comp[5]	1.202	0.182	0.874	1.190	1.582
sigma_H[1]	0.205	0.047	0.121	0.202	0.309
sigma_H[2]	0.175	0.028	0.126	0.172	0.236
sigma_H[3]	0.187	0.042	0.114	0.185	0.278
sigma_H[4]	0.462	0.080	0.329	0.452	0.642
sigma_H[5]	0.962	0.201	0.596	0.951	1.392
sigma_H[6]	0.546	0.189	0.185	0.542	0.950
sigma_H[7]	0.309	0.063	0.217	0.300	0.455
sigma_H[8]	0.424	0.089	0.286	0.412	0.621
sigma_H[9]	0.515	0.122	0.328	0.501	0.793
sigma_H[10]	0.210	0.039	0.144	0.207	0.295
sigma_H[11]	0.265	0.044	0.193	0.261	0.363
sigma_H[12]	0.377	0.144	0.198	0.332	0.711
sigma_H[13]	0.218	0.036	0.158	0.214	0.297
sigma_H[14]	0.501	0.090	0.349	0.492	0.693
sigma_H[15]	0.235	0.037	0.172	0.232	0.313
sigma_H[16]	0.211	0.041	0.143	0.207	0.301
lambda_H[1]	2.231	3.324	0.073	1.040	11.668
lambda_H[2]	5.011	4.791	0.509	3.555	18.341
lambda_H[3]	5.517	8.202	0.298	2.812	27.555
lambda_H[4]	0.007	0.004	0.001	0.005	0.018
lambda_H[5]	2.895	8.003	0.026	0.709	22.826
lambda_H[6]	6.005	12.628	0.009	0.341	43.661
lambda_H[7]	0.012	0.008	0.002	0.010	0.034
lambda_H[8]	8.343	10.995	0.104	4.596	39.484
lambda_H[9]	0.015	0.010	0.003	0.013	0.038
lambda_H[10]	0.227	0.336	0.026	0.156	0.776
lambda_H[11]	0.228	0.386	0.010	0.106	1.107
lambda_H[12]	3.556	4.256	0.169	2.150	15.382
lambda_H[13]	3.127	2.904	0.251	2.303	10.929
lambda_H[14]	3.444	3.914	0.261	2.192	14.445
lambda_H[15]	0.021	0.062	0.003	0.014	0.066
lambda_H[16]	0.477	0.713	0.032	0.246	2.393
mu_lambda_H[1]	4.047	1.883	1.056	3.830	8.192
mu_lambda_H[2]	3.673	1.919	0.577	3.512	7.805
mu_lambda_H[3]	3.341	1.814	0.745	3.018	7.539
sigma_lambda_H[1]	8.131	4.353	1.690	7.478	18.041
sigma_lambda_H[2]	8.117	4.655	1.037	7.511	18.201
sigma_lambda_H[3]	6.167	4.016	0.997	5.182	16.160
beta_H[1,1]	6.496	1.359	3.284	6.713	8.459
beta_H[2,1]	9.754	0.610	8.477	9.796	10.839
beta_H[3,1]	7.853	0.796	5.987	7.941	9.175
beta_H[4,1]	10.699	7.843	-5.036	10.907	25.775
beta_H[5,1]	-0.314	2.542	-5.505	-0.148	4.128
beta_H[6,1]	3.216	4.284	-7.437	4.735	8.213
beta_H[7,1]	1.352	5.742	-10.892	1.644	11.890
beta_H[8,1]	1.344	4.055	-2.690	1.212	3.579
beta_H[9,1]	13.528	5.690	2.119	13.551	25.437
beta_H[10,1]	6.726	1.792	3.119	6.797	10.141
beta_H[11,1]	4.791	3.468	-2.981	5.360	9.787
beta_H[12,1]	2.569	1.121	0.688	2.517	4.864
beta_H[13,1]	9.088	0.913	7.012	9.151	10.646
beta_H[14,1]	2.170	0.966	0.343	2.174	4.131
beta_H[15,1]	-7.001	3.470	-13.328	-7.145	0.512
beta_H[16,1]	3.972	2.901	-0.869	3.620	10.462
beta_H[1,2]	7.773	0.277	7.227	7.774	8.297
beta_H[2,2]	9.874	0.164	9.533	9.875	10.190
beta_H[3,2]	8.793	0.198	8.404	8.791	9.181
beta_H[4,2]	2.986	1.479	0.182	2.953	6.080
beta_H[5,2]	1.724	0.996	-0.207	1.728	3.594
beta_H[6,2]	6.029	1.118	3.441	6.202	7.729
beta_H[7,2]	2.372	1.065	0.473	2.311	4.730
beta_H[8,2]	2.994	1.131	1.237	3.132	4.204
beta_H[9,2]	3.222	1.094	1.146	3.212	5.422
beta_H[10,2]	8.046	0.364	7.324	8.045	8.783
beta_H[11,2]	9.830	0.630	8.857	9.729	11.201
beta_H[12,2]	3.932	0.372	3.243	3.924	4.704
beta_H[13,2]	9.157	0.238	8.731	9.137	9.632
beta_H[14,2]	4.022	0.343	3.348	4.027	4.717
beta_H[15,2]	11.540	0.627	10.225	11.573	12.721
beta_H[16,2]	4.468	0.813	2.982	4.451	6.094
beta_H[1,3]	8.444	0.265	7.969	8.435	8.969
beta_H[2,3]	9.857	0.150	9.565	9.855	10.150
beta_H[3,3]	9.462	0.163	9.161	9.459	9.795
beta_H[4,3]	-2.152	0.877	-3.908	-2.134	-0.447
beta_H[5,3]	3.897	0.599	2.732	3.898	5.088
beta_H[6,3]	8.350	1.153	6.741	8.019	10.806
beta_H[7,3]	-2.549	0.627	-3.843	-2.526	-1.320
beta_H[8,3]	5.292	0.520	4.694	5.212	6.417
beta_H[9,3]	-2.741	0.703	-4.154	-2.731	-1.383
beta_H[10,3]	8.546	0.273	8.011	8.543	9.092
beta_H[11,3]	8.498	0.290	7.878	8.513	9.023
beta_H[12,3]	5.268	0.312	4.568	5.306	5.789
beta_H[13,3]	8.866	0.177	8.513	8.870	9.195
beta_H[14,3]	5.788	0.265	5.198	5.807	6.260
beta_H[15,3]	10.280	0.301	9.685	10.279	10.887
beta_H[16,3]	5.909	0.593	4.707	5.934	7.012
beta_H[1,4]	8.101	0.187	7.717	8.110	8.456
beta_H[2,4]	9.843	0.129	9.572	9.848	10.086
beta_H[3,4]	9.954	0.152	9.634	9.962	10.232
beta_H[4,4]	11.797	0.478	10.846	11.801	12.739
beta_H[5,4]	5.591	0.739	4.364	5.524	7.296
beta_H[6,4]	7.209	0.920	5.261	7.455	8.517
beta_H[7,4]	8.536	0.347	7.843	8.536	9.205
beta_H[8,4]	6.720	0.249	6.203	6.735	7.131
beta_H[9,4]	7.448	0.440	6.578	7.443	8.339
beta_H[10,4]	7.529	0.222	7.117	7.520	7.976
beta_H[11,4]	9.502	0.190	9.149	9.498	9.892
beta_H[12,4]	7.256	0.198	6.860	7.250	7.680
beta_H[13,4]	9.064	0.141	8.775	9.067	9.326
beta_H[14,4]	7.832	0.214	7.431	7.826	8.277
beta_H[15,4]	9.470	0.227	9.030	9.473	9.922
beta_H[16,4]	9.437	0.239	8.982	9.434	9.906
beta_H[1,5]	8.896	0.156	8.571	8.902	9.185
beta_H[2,5]	10.673	0.101	10.488	10.668	10.887
beta_H[3,5]	10.761	0.161	10.472	10.755	11.091
beta_H[4,5]	8.343	0.499	7.421	8.337	9.396
beta_H[5,5]	5.195	0.594	3.828	5.269	6.148
beta_H[6,5]	8.961	0.635	8.020	8.821	10.386
beta_H[7,5]	6.579	0.346	5.931	6.574	7.262
beta_H[8,5]	8.245	0.206	7.906	8.232	8.691
beta_H[9,5]	8.174	0.451	7.245	8.176	9.053
beta_H[10,5]	10.036	0.227	9.595	10.037	10.485
beta_H[11,5]	11.597	0.219	11.171	11.594	12.047
beta_H[12,5]	8.612	0.187	8.237	8.610	8.985
beta_H[13,5]	10.134	0.129	9.891	10.131	10.403
beta_H[14,5]	9.236	0.217	8.828	9.227	9.688
beta_H[15,5]	11.309	0.238	10.823	11.306	11.767
beta_H[16,5]	9.855	0.184	9.496	9.859	10.207
beta_H[1,6]	10.124	0.250	9.749	10.088	10.741
beta_H[2,6]	11.472	0.114	11.239	11.470	11.701
beta_H[3,6]	10.621	0.155	10.287	10.629	10.902
beta_H[4,6]	12.924	0.883	11.092	12.967	14.580
beta_H[5,6]	5.645	0.636	4.551	5.604	6.991
beta_H[6,6]	8.736	0.572	7.466	8.769	9.801
beta_H[7,6]	10.530	0.589	9.360	10.541	11.693
beta_H[8,6]	9.522	0.275	9.017	9.534	9.962
beta_H[9,6]	8.329	0.762	6.890	8.329	9.852
beta_H[10,6]	9.154	0.342	8.445	9.177	9.781
beta_H[11,6]	10.686	0.362	9.918	10.715	11.340
beta_H[12,6]	9.374	0.236	8.934	9.368	9.884
beta_H[13,6]	11.092	0.152	10.804	11.090	11.399
beta_H[14,6]	9.927	0.273	9.380	9.926	10.465
beta_H[15,6]	10.532	0.424	9.687	10.532	11.349
beta_H[16,6]	10.587	0.257	10.060	10.593	11.071
beta_H[1,7]	10.140	1.321	6.701	10.456	11.881
beta_H[2,7]	12.129	0.514	11.069	12.161	13.065
beta_H[3,7]	10.297	0.662	8.880	10.351	11.391
beta_H[4,7]	1.390	4.500	-7.125	1.263	10.737
beta_H[5,7]	5.785	2.060	1.770	5.824	9.766
beta_H[6,7]	7.189	3.124	-0.738	8.267	10.893
beta_H[7,7]	7.724	2.961	1.803	7.665	13.751
beta_H[8,7]	10.886	1.017	9.265	10.858	12.587
beta_H[9,7]	4.780	3.917	-3.030	4.888	12.497
beta_H[10,7]	10.007	1.576	7.195	9.868	13.284
beta_H[11,7]	11.383	1.774	8.271	11.205	15.310
beta_H[12,7]	9.786	0.945	7.686	9.865	11.416
beta_H[13,7]	11.717	0.698	10.082	11.778	12.902
beta_H[14,7]	10.626	0.874	8.784	10.648	12.225
beta_H[15,7]	14.034	2.214	9.664	14.049	18.313
beta_H[16,7]	12.912	1.371	10.437	12.823	15.787
beta0_H[1]	9.088	18.460	-27.546	8.890	47.514
beta0_H[2]	10.662	8.278	-5.455	10.512	26.608
beta0_H[3]	9.798	10.163	-9.812	9.729	29.169
beta0_H[4]	2.516	177.401	-367.484	6.227	368.278
beta0_H[5]	3.256	30.840	-57.653	4.102	57.075
beta0_H[6]	7.108	52.665	-106.289	7.531	124.058
beta0_H[7]	1.512	132.956	-274.870	3.613	264.670
beta0_H[8]	6.470	28.703	-20.019	6.436	29.712
beta0_H[9]	10.155	123.687	-240.352	8.527	256.978
beta0_H[10]	10.532	38.308	-68.185	11.026	91.387
beta0_H[11]	8.622	53.267	-104.895	9.384	121.069
beta0_H[12]	6.853	12.132	-16.790	6.586	33.257
beta0_H[13]	9.460	11.248	-13.541	9.645	32.299
beta0_H[14]	7.299	11.107	-14.652	7.314	30.148
beta0_H[15]	12.782	118.120	-214.421	10.951	266.683
beta0_H[16]	7.622	31.780	-55.845	7.739	67.353

Rockfish Historical Harvest Estimates

Phil Joy & Adam Reimer

February 2025